AI Data Projects Intern — Impactful, Data-Driven

TikTok; Singapore; On-site; SGD 10,000 - 17,000; Full time

Job summary

TikTok is offering a Project Intern role to contribute to impactful short-term projects within the AI Data Service and Eco Operations teams in Singapore. You will gain hands-on experience in a fast-paced, professional environment and help ensure data quality and project delivery while learning about model training and content safety processes.

The internship emphasizes practical skills, collaboration across international teams, and exposure to data annotation and project management.

Qualifications

• Actively enrolled university student who can commit at least 3 months and ideally 4 days per week.
• Ability to quickly understand business knowledge and model training processes.
• Strong communication and written skills in English.
• Good data analysis and project management skills.
• Strong coordination, collaboration and time management in a fast-paced international environment.
• Proactive and responsible in process optimization.

Responsibilities

• Support labeling projects and uphold efficiency and quality by monitoring key project metrics.
• Use business platforms and tools to monitor and analyze project progress to ensure timely delivery.
• Provide regular project updates and improve the overall project experience in the business domain.
• Assist the team in analyzing project data to facilitate data-driven decisions.

Skills

Project coordination

Data analysis

Communication

English writing

Time management

Team collaboration

Process optimization

Education

Active university student

Job description

TikTok is offering a Project Intern role to contribute to impactful short-term projects within the AI Data Service and Eco Operations teams in Singapore. You will gain hands-on experience in a fast-paced, professional environment and help ensure data quality and project delivery while learning about model training and content safety processes.

The internship emphasizes practical skills, collaboration across international teams, and exposure to data annotation and project management.